Yi Ma

发表

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations

Hongyao Tang, Zhaopeng Meng, Jianye Hao, 2022, IJCAI.

Understanding the Complexity Gains of Single-Task RL with a Curriculum

S. Levine, Yuexiang Zhai, Yi Ma, 2022, ArXiv.

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

S. Levine, Chelsea Finn, Aviral Kumar, 2023, arXiv.org.

Understanding the Complexity Gains of Single-Task RL with a Curriculum

S. Levine, Yuexiang Zhai, Yi Ma, 2022, ArXiv.

A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem

Jiahui Duan, Xialiang Tong, Fei Ni, 2021, KDD.

A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems

Jianye Hao, Zhaopeng Meng, Xingfu Liu, 2021, NeurIPS.

TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels

Sai Praneeth Karimireddy, Michael I. Jordan, Yaodong Yu, 2022, NeurIPS.

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

Jian Xu, Guan Wang, Zhenzhe Zheng, 2020, ICML.

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge pdf

Peng Zhang, Yi Ma, Jianye Hao, 2020, IJCAI.

State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning

Hongyao Tang, Chen Chen, Dong Li, 2022, ArXiv.

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

S. Levine, Chelsea Finn, Aviral Kumar, 2023, ArXiv.

Understanding the Complexity Gains of Single-Task RL with a Curriculum

S. Levine, Yuexiang Zhai, Yi Ma, 2022, ArXiv.

HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach

Zhaopeng Meng, Yi Ma, Jinyi Liu, 2023, ArXiv.

In-Sample Policy Iteration for Offline Reinforcement Learning

Chenjun Xiao, Zhaopeng Meng, Yi Ma, 2023, ArXiv.

Scaff-PD: Communication Efficient Fair and Robust Federated Learning

Sai Praneeth Karimireddy, Michael I. Jordan, Yaodong Yu, 2023, ArXiv.

Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration

Zhaopeng Meng, Yi Ma, Jinyi Liu, 2023, ArXiv.

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

S. Levine, Chelsea Finn, Aviral Kumar, 2023, ArXiv.

Iteratively Refined Behavior Regularization for Offline Reinforcement Learning

Chenjun Xiao, Zhaopeng Meng, Yi Ma, 2023, 2306.05726.

OSCAR: OOD State-Conservative Offline Reinforcement Learning for Sequential Decision Making

Yi Ma, Jinyi Liu, Yan Zheng, 2023, CAAI Artificial Intelligence Research.

A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving

Yi Ma, Xiaotian Hao, Hebin Liang, 2023, CIKM.

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles

Zhaopeng Meng, Yi Ma, Jinyi Liu, 2023, AAMAS.

Large Scale Deep Reinforcement Learning in War-games

Yi Ma, Jianye Hao, Hongyao Tang, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback

Yifu Yuan, Yi Ma, Jinyi Liu, 2024, arXiv.org.